Results 11 to 20 of about 5,844 (217)
Radar micro-Doppler signatures of drones and birds at K-band and W-band [PDF]
Scientific Reports, 2018 The authors acknowledge the funding received from the Science and Technology Facilities Council which has supported this work under grant ST/N006569/1Due to the substantial increase in the number of affordable drones in the consumer market and their ...
Samiur Rahman, Duncan A Robertson
exaly +4 more sources
Realistic Simulation of Drone Micro-Doppler Signatures [PDF]
2021 18th European Radar Conference (EuRAD), 2022 This paper presents a novel approach to simulating micro-Doppler signatures caused by drones. The focus of this work is to produce realistic signatures that represent the variation that is observed in live radar measurements. In order to accomplish this, the kinematics and dynamics of a drone flight are modelled to capture the changing rotor rotation ...
Bennett, Cameron +2 more
openaire +2 more sources
Exploring Radar Micro-Doppler Signatures for Recognition of Drone Types
Drones, 2023 In this study, we examine the use of micro-Doppler signals produced by different blades (i.e., puller and lifting blades) to aid in radar-based target recognition of small drones.
Jun Yan +4 more
doaj +2 more sources
Human Activity Classification Based on Dual Micro-Motion Signatures Using Interferometric Radar
Remote Sensing, 2023 Micro-Doppler signatures obtained from the Doppler radar are generally used for human activity classification. However, if the angle between the direction of motion and radar antenna broadside is greater than 60°, the micro-Doppler signatures generated ...
Shahid Hassan +5 more
doaj +2 more sources
Examination of Drone Micro-Doppler and JEM/HERM Signatures [PDF]
2020 IEEE Radar Conference (RadarConf20), 2020 Radars monitoring small targets often must increase their integration times to achieve sufficient signal-to-noise ratio (SNR) for maintaining a viable track. These longer integation times can prevent micro-Doppler signature extraction and instead result in Doppler signatures consisting of spectral lines to the radar's higher-level processing.
Markow, John, Balleri, Alessio
openaire +3 more sources
Bistatic human micro-Doppler signatures for classification of indoor activities [PDF]
2017 IEEE Radar Conference (RadarConf), 2017 This paper presents the analysis of human micro- Doppler signatures collected by a bistatic radar system to classify different indoor activities. Tools for automatic classification of different activities will enable the implementation and deployment of systems for monitoring life patterns of people and identifying fall events or anomalies which may be
Fioranelli, Francesco +2 more
openaire +3 more sources
Synthetic Micro-Doppler Signatures of Non-Stationary Channels for the Design of Human Activity Recognition Systems [PDF]
, 2021 The main aim of this dissertation is to generate synthetic micro-Doppler signatures and TV-MDSs to train the HACs. This is achieved by developing non-stationary fixed-tofixed (F2F) indoor channel models.
Abdelgawwad, Ahmed
core +1 more source
Dynamic RCS Estimation according to Drone Movement Using the MoM and Far-Field Approximation [PDF]
Journal of Electromagnetic Engineering and Science, 2021 Micro-Doppler signatures from the rotating propellers of a drone can be utilized to distinguish the drone from clutter or airborne organisms with similar radar cross section (RCS) levels, such as birds and bats.
Dong-Yeob Lee, Jae-In Lee, Dong-Wook Seo
doaj +1 more source
MDPose: Human Skeletal Motion Reconstruction Using WiFi Micro-Doppler Signatures [PDF]
, 2023 Motion tracking systems based on optical sensors typically often suffer from issues, such as poor lighting conditions, occlusion, limited coverage, and may raise privacy concerns.
Chetty, Kevin +6 more
core +2 more sources
Sensors, 2022 We propose in this work a dynamic group sparsity (DGS) based time-frequency feature extraction method for dynamic hand gesture recognition (HGR) using millimeter-wave radar sensors.
Chengjin Zhang +5 more
doaj +1 more source